國立高雄大學圖資館 |

Language: English

Back

How algorithms create and prevent fa...

Giansiracusa, Noah.

How algorithms create and prevent fake newsexploring the impacts of social media, deepfakes, GPT-3, and more /

Record Type:	Electronic resources : Monograph/item
Title/Author:	How algorithms create and prevent fake newsby Noah Giansiracusa.
Reminder of title:	exploring the impacts of social media, deepfakes, GPT-3, and more /
Author:	Giansiracusa, Noah.
Published:	Berkeley, CA :Apress :2021.
Description:	xii, 235 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Fake newsPrevention.
Online resource:	https://doi.org/10.1007/978-1-4842-7155-1
ISBN:	9781484271551$q(electronic bk.)

How algorithms create and prevent fake newsexploring the impacts of social media, deepfakes, GPT-3, and more /
Giansiracusa, Noah.

How algorithms create and prevent fake newsexploring the impacts of social media, deepfakes, GPT-3, and more /[electronic resource] :by Noah Giansiracusa. - Berkeley, CA :Apress :2021. - xii, 235 p. :ill., digital ;24 cm.

1. Perils of Pageview -- 2. Crafted by Computer -- 3. Deepfake Deception -- 4. Autoplay the Autocrats -- 5. Prevarication and the Polygraph -- 6. Gravitating to Google -- 7. Avarice of Advertising -- 8. Social Spread -- 9. Tools for Truth.

From deepfakes to GPT-3, deep learning is now powering a new assault on our ability to tell what's real and what's not, bringing a whole new algorithmic side to fake news. On the other hand, remarkable methods are being developed to help automate fact-checking and the detection of fake news and doctored media. Success in the modern business world requires you to understand these algorithmic currents, and to recognize the strengths, limits, and impacts of deep learning---especially when it comes to discerning the truth and differentiating fact from fiction. This book tells the stories of this algorithmic battle for the truth and how it impacts individuals and society at large. In doing so, it weaves together the human stories and what's at stake here, a simplified technical background on how these algorithms work, and an accessible survey of the research literature exploring these various topics. How Algorithms Create and Prevent Fake News is an accessible, broad account of the various ways that data-driven algorithms have been distorting reality and rendering the truth harder to grasp. From news aggregators to Google searches to YouTube recommendations to Facebook news feeds, the way we obtain information today is filtered through the lens of tech giant algorithms. The way data is collected, labelled, and stored has a big impact on the machine learning algorithms that are trained on it, and this is a main source of algorithmic bias - which gets amplified in harmful data feedback loops. Don't be afraid: with this book you'll see the remedies and technical solutions that are being applied to oppose these harmful trends. There is hope.

ISBN: 9781484271551$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-7155-1doiSubjects--Topical Terms:

901893
Fake news
--Prevention.

LC Class. No.: QA76.9.A43 / G53 2021

Dewey Class. No.: 006.31

How algorithms create and prevent fake newsexploring the impacts of social media, deepfakes, GPT-3, and more /
LDR:02965nmm a2200325 a 4500 001 605640
003 DE-He213
005 20210714082200.0
006 m d
007 cr nn 008maaau
008 211201s2021 cau s 0 eng d
020 $a 9781484271551$q(electronic bk.)
020 $a 9781484271544$q(paper)
024 7 $a 10.1007/978-1-4842-7155-1 $2 doi
035 $a 978-1-4842-7155-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.A43 $b G53 2021
072 7 $a PBKS $2 bicssc
072 7 $a COM051300 $2 bisacsh
072 7 $a PBKS $2 thema
082 0 4 $a 006.31 $2 23
090 $a QA76.9.A43 $b G434 2021
100 1 $a Giansiracusa, Noah. $3 901892
245 1 0 $a How algorithms create and prevent fake news $h [electronic resource] : $b exploring the impacts of social media, deepfakes, GPT-3, and more / $c by Noah Giansiracusa.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2021.
300 $a xii, 235 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Perils of Pageview -- 2. Crafted by Computer -- 3. Deepfake Deception -- 4. Autoplay the Autocrats -- 5. Prevarication and the Polygraph -- 6. Gravitating to Google -- 7. Avarice of Advertising -- 8. Social Spread -- 9. Tools for Truth.
520 $a From deepfakes to GPT-3, deep learning is now powering a new assault on our ability to tell what's real and what's not, bringing a whole new algorithmic side to fake news. On the other hand, remarkable methods are being developed to help automate fact-checking and the detection of fake news and doctored media. Success in the modern business world requires you to understand these algorithmic currents, and to recognize the strengths, limits, and impacts of deep learning---especially when it comes to discerning the truth and differentiating fact from fiction. This book tells the stories of this algorithmic battle for the truth and how it impacts individuals and society at large. In doing so, it weaves together the human stories and what's at stake here, a simplified technical background on how these algorithms work, and an accessible survey of the research literature exploring these various topics. How Algorithms Create and Prevent Fake News is an accessible, broad account of the various ways that data-driven algorithms have been distorting reality and rendering the truth harder to grasp. From news aggregators to Google searches to YouTube recommendations to Facebook news feeds, the way we obtain information today is filtered through the lens of tech giant algorithms. The way data is collected, labelled, and stored has a big impact on the machine learning algorithms that are trained on it, and this is a main source of algorithmic bias - which gets amplified in harmful data feedback loops. Don't be afraid: with this book you'll see the remedies and technical solutions that are being applied to oppose these harmful trends. There is hope.
650 0 $a Fake news $x Prevention. $3 901893
650 0 $a Deepfakes $x Prevention. $3 901894
650 0 $a Computer algorithms. $3 184478
650 0 $a Machine learning. $3 188639
650 1 4 $a Algorithms. $3 184661
650 2 4 $a Engineering Ethics. $3 741206
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Statistics, general. $3 275684
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 273702
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-1-4842-7155-1
950 $a Professional and Applied Computing (SpringerNature-12059)